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<h2> 平滑曲线拟合 </h2>
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<td>AFT vs. DPQ</br><a href="cd_4_tbl_AFT_DPQ_smooth.png" target=_BLANK><img src="cd_4_tbl_AFT_DPQ_smooth.png?time=" width=320,height=320></a></td>
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<td>CERAD vs. DPQ</br><a href="cd_4_tbl_CERAD_DPQ_smooth.png" target=_BLANK><img src="cd_4_tbl_CERAD_DPQ_smooth.png?time=" width=320,height=320></a></td>
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<td>DSST vs. DPQ</br><a href="cd_4_tbl_DSST_DPQ_smooth.png" target=_BLANK><img src="cd_4_tbl_DSST_DPQ_smooth.png?time=" width=320,height=320></a></td>
</tr>
</table>
</br></br>Generalize additive models</br>
</br></br>Outcome: AFT
</br>Exposure: DPQ
</br>Linear terms effect<table border=3>
<tr><td> </td><td>Estimate</td><td>Std. Error</td><td>t value</td><td>Pr(>|t|)</td><td>95%CI low</td><td>95%CI upp </td></tr> <tr><td> (Intercept)</td><td>24.6383</td><td>1.8484</td><td>13.3299</td><td>0</td><td>21.0155</td><td>28.2611 </td></tr> <tr><td> factor(EDUCATION)2</td><td>0.8698</td><td>0.4204</td><td>2.0689</td><td>0.0387</td><td>0.0458</td><td>1.6938 </td></tr> <tr><td> factor(EDUCATION)3</td><td>1.6128</td><td>0.3947</td><td>4.0857</td><td>0</td><td>0.8391</td><td>2.3865 </td></tr> <tr><td> factor(EDUCATION)4</td><td>2.99</td><td>0.392</td><td>7.6281</td><td>0</td><td>2.2217</td><td>3.7583 </td></tr> <tr><td> factor(EDUCATION)5</td><td>4.0643</td><td>0.4308</td><td>9.4338</td><td>0</td><td>3.2199</td><td>4.9087 </td></tr> <tr><td> factor(MARITAL)2</td><td>0.0375</td><td>0.2911</td><td>0.1287</td><td>0.8976</td><td>-0.5331</td><td>0.608 </td></tr> <tr><td> factor(MARITAL)3</td><td>0.4094</td><td>0.3016</td><td>1.3578</td><td>0.1747</td><td>-0.1816</td><td>1.0005 </td></tr> <tr><td> factor(MARITAL)4</td><td>0.0913</td><td>0.6404</td><td>0.1426</td><td>0.8866</td><td>-1.1639</td><td>1.3465 </td></tr> <tr><td> factor(MARITAL)5</td><td>0.4724</td><td>0.4546</td><td>1.0391</td><td>0.2989</td><td>-0.4186</td><td>1.3634 </td></tr> <tr><td> factor(MARITAL)6</td><td>1.6869</td><td>0.6646</td><td>2.5384</td><td>0.0112</td><td>0.3844</td><td>2.9895 </td></tr> <tr><td> PIR</td><td>0.3285</td><td>0.0743</td><td>4.4216</td><td>0</td><td>0.1829</td><td>0.4741 </td></tr> <tr><td> GENDER</td><td>-0.2209</td><td>0.2093</td><td>-1.0554</td><td>0.2913</td><td>-0.6311</td><td>0.1893 </td></tr> <tr><td> AGE</td><td>-0.1887</td><td>0.0167</td><td>-11.2864</td><td>0</td><td>-0.2215</td><td>-0.1559 </td></tr> <tr><td> factor(RACE)2</td><td>-1.9142</td><td>0.4705</td><td>-4.0686</td><td>0</td><td>-2.8363</td><td>-0.992 </td></tr> <tr><td> factor(RACE)3</td><td>0.4144</td><td>0.4023</td><td>1.03</td><td>0.3031</td><td>-0.3742</td><td>1.2029 </td></tr> <tr><td> factor(RACE)4</td><td>-2.6481</td><td>0.417</td><td>-6.3501</td><td>0</td><td>-3.4655</td><td>-1.8308 </td></tr> <tr><td> factor(RACE)6</td><td>-3.5229</td><td>0.5188</td><td>-6.7908</td><td>0</td><td>-4.5397</td><td>-2.5061 </td></tr> <tr><td> factor(RACE)7</td><td>-0.3495</td><td>0.9431</td><td>-0.3706</td><td>0.711</td><td>-2.1979</td><td>1.4989 </td></tr> <tr><td> BMI</td><td>0.0213</td><td>0.0165</td><td>1.2936</td><td>0.1959</td><td>-0.011</td><td>0.0536 </td></tr> <tr><td> BP</td><td>0.4994</td><td>0.2158</td><td>2.3146</td><td>0.0207</td><td>0.0765</td><td>0.9224 </td></tr> <tr><td> CORONARY</td><td>0.0097</td><td>0.3538</td><td>0.0275</td><td>0.9781</td><td>-0.6837</td><td>0.7032 </td></tr> <tr><td> STROKE</td><td>0.9235</td><td>0.4037</td><td>2.2878</td><td>0.0222</td><td>0.1323</td><td>1.7147 </td></tr>
</table>
</br>Chi-square tests for linear terms<table border=3>
<tr><td> </td><td>df</td><td>F</td><td>p-value </td></tr> <tr><td> factor(EDUCATION)</td><td>4</td><td>32.5571</td><td>0 </td></tr> <tr><td> factor(MARITAL)</td><td>5</td><td>1.6586</td><td>0.1413 </td></tr> <tr><td> PIR</td><td>1</td><td>19.5503</td><td>0 </td></tr> <tr><td> GENDER</td><td>1</td><td>1.114</td><td>0.2913 </td></tr> <tr><td> AGE</td><td>1</td><td>127.383</td><td>0 </td></tr> <tr><td> factor(RACE)</td><td>5</td><td>41.7028</td><td>0 </td></tr> <tr><td> BMI</td><td>1</td><td>1.6733</td><td>0.1959 </td></tr> <tr><td> BP</td><td>1</td><td>5.3572</td><td>0.0207 </td></tr> <tr><td> CORONARY</td><td>1</td><td>8e-04</td><td>0.9781 </td></tr> <tr><td> STROKE</td><td>1</td><td>5.2342</td><td>0.0222 </td></tr>
</table>
</br>Approximate significance of smooth terms<table border=3>
<tr><td> </td><td>edf</td><td>Ref.df</td><td>F</td><td>p-value </td></tr> <tr><td> s(DPQ)</td><td>1.2237</td><td>1.414</td><td>0.1186</td><td>0.8925 </td></tr>
</table>
</br>Model statistics<table border=3>
<tr><td> N:</td><td>2371 </td></tr> <tr><td> Adj. r-square:</td><td>0.2268 </td></tr> <tr><td> Deviance explained:</td><td>0.234 </td></tr> <tr><td> UBRE score (sp.criterion):</td><td>23.4667 </td></tr> <tr><td> Scale estimate:</td><td>23.2368573843804 </td></tr> <tr><td> family:</td><td>gaussian </td></tr> <tr><td> link function:</td><td>identity </td></tr>
</table>
</br></br>Outcome: CERAD
</br>Exposure: DPQ
</br>Linear terms effect<table border=3>
<tr><td> </td><td>Estimate</td><td>Std. Error</td><td>t value</td><td>Pr(>|t|)</td><td>95%CI low</td><td>95%CI upp </td></tr> <tr><td> (Intercept)</td><td>32.3224</td><td>2.2778</td><td>14.1903</td><td>0</td><td>27.858</td><td>36.7869 </td></tr> <tr><td> factor(EDUCATION)2</td><td>2.4211</td><td>0.5182</td><td>4.6721</td><td>0</td><td>1.4054</td><td>3.4368 </td></tr> <tr><td> factor(EDUCATION)3</td><td>3.6208</td><td>0.4865</td><td>7.4427</td><td>0</td><td>2.6673</td><td>4.5744 </td></tr> <tr><td> factor(EDUCATION)4</td><td>4.5221</td><td>0.4831</td><td>9.3614</td><td>0</td><td>3.5753</td><td>5.4688 </td></tr> <tr><td> factor(EDUCATION)5</td><td>4.8788</td><td>0.5308</td><td>9.191</td><td>0</td><td>3.8384</td><td>5.9192 </td></tr> <tr><td> factor(MARITAL)2</td><td>-0.5179</td><td>0.3587</td><td>-1.444</td><td>0.1489</td><td>-1.2209</td><td>0.1851 </td></tr> <tr><td> factor(MARITAL)3</td><td>0.0118</td><td>0.3716</td><td>0.0319</td><td>0.9746</td><td>-0.7165</td><td>0.7401 </td></tr> <tr><td> factor(MARITAL)4</td><td>0.2575</td><td>0.7895</td><td>0.3261</td><td>0.7443</td><td>-1.2899</td><td>1.8048 </td></tr> <tr><td> factor(MARITAL)5</td><td>-0.3652</td><td>0.5601</td><td>-0.652</td><td>0.5145</td><td>-1.463</td><td>0.7326 </td></tr> <tr><td> factor(MARITAL)6</td><td>-1.0179</td><td>0.8189</td><td>-1.243</td><td>0.214</td><td>-2.6228</td><td>0.5871 </td></tr> <tr><td> PIR</td><td>0.2539</td><td>0.0915</td><td>2.7741</td><td>0.0056</td><td>0.0745</td><td>0.4333 </td></tr> <tr><td> GENDER</td><td>2.4392</td><td>0.2579</td><td>9.4577</td><td>0</td><td>1.9337</td><td>2.9447 </td></tr> <tr><td> AGE</td><td>-0.2819</td><td>0.0206</td><td>-13.682</td><td>0</td><td>-0.3222</td><td>-0.2415 </td></tr> <tr><td> factor(RACE)2</td><td>-1.5029</td><td>0.5801</td><td>-2.5906</td><td>0.0096</td><td>-2.6399</td><td>-0.3658 </td></tr> <tr><td> factor(RACE)3</td><td>0.711</td><td>0.4959</td><td>1.4337</td><td>0.1518</td><td>-0.261</td><td>1.683 </td></tr> <tr><td> factor(RACE)4</td><td>-0.5243</td><td>0.514</td><td>-1.02</td><td>0.3078</td><td>-1.5316</td><td>0.4831 </td></tr> <tr><td> factor(RACE)6</td><td>-0.1007</td><td>0.6395</td><td>-0.1575</td><td>0.8748</td><td>-1.3542</td><td>1.1527 </td></tr> <tr><td> factor(RACE)7</td><td>-0.465</td><td>1.1621</td><td>-0.4001</td><td>0.6891</td><td>-2.7428</td><td>1.8128 </td></tr> <tr><td> BMI</td><td>0.0269</td><td>0.0203</td><td>1.3236</td><td>0.1858</td><td>-0.0129</td><td>0.0667 </td></tr> <tr><td> BP</td><td>0.2695</td><td>0.2659</td><td>1.0137</td><td>0.3108</td><td>-0.2516</td><td>0.7907 </td></tr> <tr><td> CORONARY</td><td>0.1253</td><td>0.4361</td><td>0.2874</td><td>0.7738</td><td>-0.7293</td><td>0.98 </td></tr> <tr><td> STROKE</td><td>1.5044</td><td>0.4973</td><td>3.0249</td><td>0.0025</td><td>0.5296</td><td>2.4792 </td></tr>
</table>
</br>Chi-square tests for linear terms<table border=3>
<tr><td> </td><td>df</td><td>F</td><td>p-value </td></tr> <tr><td> factor(EDUCATION)</td><td>4</td><td>26.749</td><td>0 </td></tr> <tr><td> factor(MARITAL)</td><td>5</td><td>0.8263</td><td>0.5308 </td></tr> <tr><td> PIR</td><td>1</td><td>7.6958</td><td>0.0056 </td></tr> <tr><td> GENDER</td><td>1</td><td>89.4483</td><td>0 </td></tr> <tr><td> AGE</td><td>1</td><td>187.1966</td><td>0 </td></tr> <tr><td> factor(RACE)</td><td>5</td><td>6.0272</td><td>0 </td></tr> <tr><td> BMI</td><td>1</td><td>1.752</td><td>0.1858 </td></tr> <tr><td> BP</td><td>1</td><td>1.0277</td><td>0.3108 </td></tr> <tr><td> CORONARY</td><td>1</td><td>0.0826</td><td>0.7738 </td></tr> <tr><td> STROKE</td><td>1</td><td>9.1502</td><td>0.0025 </td></tr>
</table>
</br>Approximate significance of smooth terms<table border=3>
<tr><td> </td><td>edf</td><td>Ref.df</td><td>F</td><td>p-value </td></tr> <tr><td> s(DPQ)</td><td>2.164</td><td>2.7092</td><td>7.4699</td><td>2e-04 </td></tr>
</table>
</br>Model statistics<table border=3>
<tr><td> N:</td><td>2371 </td></tr> <tr><td> Adj. r-square:</td><td>0.2116 </td></tr> <tr><td> Deviance explained:</td><td>0.2193 </td></tr> <tr><td> UBRE score (sp.criterion):</td><td>35.6367 </td></tr> <tr><td> Scale estimate:</td><td>35.2735343654672 </td></tr> <tr><td> family:</td><td>gaussian </td></tr> <tr><td> link function:</td><td>identity </td></tr>
</table>
</br></br>Outcome: DSST
</br>Exposure: DPQ
</br>Linear terms effect<table border=3>
<tr><td> </td><td>Estimate</td><td>Std. Error</td><td>t value</td><td>Pr(>|t|)</td><td>95%CI low</td><td>95%CI upp </td></tr> <tr><td> (Intercept)</td><td>61.3488</td><td>4.6665</td><td>13.1467</td><td>0</td><td>52.2025</td><td>70.4951 </td></tr> <tr><td> factor(EDUCATION)2</td><td>8.9714</td><td>1.0619</td><td>8.4486</td><td>0</td><td>6.8901</td><td>11.0527 </td></tr> <tr><td> factor(EDUCATION)3</td><td>14.4648</td><td>0.9968</td><td>14.5118</td><td>0</td><td>12.5111</td><td>16.4184 </td></tr> <tr><td> factor(EDUCATION)4</td><td>18.3595</td><td>0.9896</td><td>18.5524</td><td>0</td><td>16.4199</td><td>20.2991 </td></tr> <tr><td> factor(EDUCATION)5</td><td>20.5537</td><td>1.0873</td><td>18.904</td><td>0</td><td>18.4226</td><td>22.6847 </td></tr> <tr><td> factor(MARITAL)2</td><td>-0.5687</td><td>0.7346</td><td>-0.7741</td><td>0.439</td><td>-2.0086</td><td>0.8712 </td></tr> <tr><td> factor(MARITAL)3</td><td>0.8668</td><td>0.7611</td><td>1.1388</td><td>0.2549</td><td>-0.6251</td><td>2.3586 </td></tr> <tr><td> factor(MARITAL)4</td><td>-0.973</td><td>1.6178</td><td>-0.6014</td><td>0.5476</td><td>-4.1439</td><td>2.1979 </td></tr> <tr><td> factor(MARITAL)5</td><td>0.5959</td><td>1.1472</td><td>0.5194</td><td>0.6035</td><td>-1.6527</td><td>2.8444 </td></tr> <tr><td> factor(MARITAL)6</td><td>0.9175</td><td>1.6773</td><td>0.547</td><td>0.5844</td><td>-2.3701</td><td>4.205 </td></tr> <tr><td> PIR</td><td>2.0393</td><td>0.1875</td><td>10.8782</td><td>0</td><td>1.6719</td><td>2.4067 </td></tr> <tr><td> GENDER</td><td>4.9328</td><td>0.5283</td><td>9.3371</td><td>0</td><td>3.8974</td><td>5.9683 </td></tr> <tr><td> AGE</td><td>-0.8551</td><td>0.0422</td><td>-20.2637</td><td>0</td><td>-0.9378</td><td>-0.7724 </td></tr> <tr><td> factor(RACE)2</td><td>-4.8929</td><td>1.1886</td><td>-4.1164</td><td>0</td><td>-7.2226</td><td>-2.5631 </td></tr> <tr><td> factor(RACE)3</td><td>6.1852</td><td>1.0159</td><td>6.0882</td><td>0</td><td>4.194</td><td>8.1764 </td></tr> <tr><td> factor(RACE)4</td><td>-4.7599</td><td>1.0528</td><td>-4.5212</td><td>0</td><td>-6.8233</td><td>-2.6964 </td></tr> <tr><td> factor(RACE)6</td><td>2.577</td><td>1.3102</td><td>1.9669</td><td>0.0493</td><td>0.0091</td><td>5.1449 </td></tr> <tr><td> factor(RACE)7</td><td>5.6047</td><td>2.3806</td><td>2.3543</td><td>0.0186</td><td>0.9387</td><td>10.2707 </td></tr> <tr><td> BMI</td><td>0.0205</td><td>0.0416</td><td>0.493</td><td>0.622</td><td>-0.061</td><td>0.1021 </td></tr> <tr><td> BP</td><td>0.886</td><td>0.5446</td><td>1.6267</td><td>0.1039</td><td>-0.1816</td><td>1.9535 </td></tr> <tr><td> CORONARY</td><td>1.4789</td><td>0.8934</td><td>1.6554</td><td>0.098</td><td>-0.2721</td><td>3.2299 </td></tr> <tr><td> STROKE</td><td>5.2564</td><td>1.0187</td><td>5.1599</td><td>0</td><td>3.2598</td><td>7.253 </td></tr>
</table>
</br>Chi-square tests for linear terms<table border=3>
<tr><td> </td><td>df</td><td>F</td><td>p-value </td></tr> <tr><td> factor(EDUCATION)</td><td>4</td><td>113.115</td><td>0 </td></tr> <tr><td> factor(MARITAL)</td><td>5</td><td>0.6821</td><td>0.637 </td></tr> <tr><td> PIR</td><td>1</td><td>118.3344</td><td>0 </td></tr> <tr><td> GENDER</td><td>1</td><td>87.1823</td><td>0 </td></tr> <tr><td> AGE</td><td>1</td><td>410.6181</td><td>0 </td></tr> <tr><td> factor(RACE)</td><td>5</td><td>63.8148</td><td>0 </td></tr> <tr><td> BMI</td><td>1</td><td>0.2431</td><td>0.622 </td></tr> <tr><td> BP</td><td>1</td><td>2.646</td><td>0.1039 </td></tr> <tr><td> CORONARY</td><td>1</td><td>2.7403</td><td>0.098 </td></tr> <tr><td> STROKE</td><td>1</td><td>26.6251</td><td>0 </td></tr>
</table>
</br>Approximate significance of smooth terms<table border=3>
<tr><td> </td><td>edf</td><td>Ref.df</td><td>F</td><td>p-value </td></tr> <tr><td> s(DPQ)</td><td>2.8505</td><td>3.5481</td><td>2.8827</td><td>0.0309 </td></tr>
</table>
</br>Model statistics<table border=3>
<tr><td> N:</td><td>2371 </td></tr> <tr><td> Adj. r-square:</td><td>0.5011 </td></tr> <tr><td> Deviance explained:</td><td>0.5062 </td></tr> <tr><td> UBRE score (sp.criterion):</td><td>149.5369 </td></tr> <tr><td> Scale estimate:</td><td>147.969636140807 </td></tr> <tr><td> family:</td><td>gaussian </td></tr> <tr><td> link function:</td><td>identity </td></tr>
</table>

</br>Created by EmpowerStats (www.empowerstats.com) and R on 2025-02-13
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